FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -Veracity is a big data characteristic related to consistency, accuracy, quality, and trustworthiness. Data veracity refers to the biasedness, noise, abnormality in data. It also refers to incomplete data or the presence of errors, outliers, and missing values.

Detailed explanation-2: -Veracity is the fourth V in the 5 V’s of big data. It refers to the quality and accuracy of data. Gathered data could have missing pieces, may be inaccurate or may not be able to provide real, valuable insight. Veracity, overall, refers to the level of trust there is in the collected data.

Detailed explanation-3: -In computer science, uncertain data is data that contains noise that makes it deviate from the correct, intended or original values. In the age of big data, uncertainty or data veracity is one of the defining characteristics of data. Data is constantly growing in volume, variety, velocity and uncertainty (1/veracity).

Detailed explanation-4: -An example of a high veracity data set would be data from a medical experiment or trial. Data that is high volume, high velocity and high variety must be processed with advanced tools (analytics and algorithms) to reveal meaningful information.

Detailed explanation-5: -Explanation: Data Veracity is uncertain or imprecise data. Sanfoundry Global Education & Learning Series – Data Science. Here’s the list of Best Books in Data Science. To practice tough questions on all areas of Data Science, Here is complete set of 1000+ Multiple Choice Questions and Answers.